Bagel AI
Bagel AI provides an AI‑native platform that automatically pulls data from sales, support, and product tools like Gong, Salesforce, Jira, and Zendesk into a unified view. It uses trained models to triage feature requests, surface revenue‑impacting opportunities, and generate real‑time alerts on deal blockers and churn risks, helping SaaS product teams align development with business outcomes.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
Funding
Raised to date
$5.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Product teams often rely on fragmented feedback and usage data spread across multiple tools, leading to guesswork, bias, and difficulty linking product work to business impact.
Solution
Bagel AI offers an AI-native platform that automatically aggregates and synthesizes data from a company’s existing stack—such as Gong, Salesforce, Jira, and Zendesk—into unified, evidence‑based insights. Its continuously learning models identify blind spots, prioritize feature ideas, and surface growth opportunities tied to revenue and customer satisfaction. The system provides a single view of feature adoption, business impact, and customer sentiment, enabling data‑driven decision making without manual triage. Integrated native apps and a Chrome extension allow users to capture and act on feedback directly within the tools they already use. Real‑time alerts highlight deal blockers, churn signals, and high‑impact requests, while quarterly ROI reviews help teams measure the effect of roadmap decisions.
Target Audience
Primary customers are mid‑size to large SaaS product teams—including product managers, product operations, and GTM stakeholders—who need to align feature development with revenue and customer outcomes.
Features
- Automated ingestion of signals from sales, support, and product tools (Gong, Salesforce, Jira, Zendesk, etc.) into a unified data lake
- Dedicated AI model trained on the company’s product taxonomy for accurate triage of feature requests by urgency, revenue impact, and pain signals
- Auto‑assignment of ideas to the appropriate product manager based on ownership and context
- Real‑time alerts for deal blockers, churn risks, and top‑requested features
- Native integrations and Chrome extension for seamless feedback capture within existing workflows
- Unlimited user seats with enterprise‑grade security (SOC 2 Type II, SSO, audit trails)
- Quarterly roadmap ROI reviews and custom reporting for enterprise customers